EP4010769C0 - Ein verfahren zur bestimmung einer sensorkonfiguration - Google Patents

Ein verfahren zur bestimmung einer sensorkonfiguration

Info

Publication number
EP4010769C0
EP4010769C0 EP20753353.0A EP20753353A EP4010769C0 EP 4010769 C0 EP4010769 C0 EP 4010769C0 EP 20753353 A EP20753353 A EP 20753353A EP 4010769 C0 EP4010769 C0 EP 4010769C0
Authority
EP
European Patent Office
Prior art keywords
determining
sensor configuration
sensor
configuration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP20753353.0A
Other languages
English (en)
French (fr)
Other versions
EP4010769A1 (de
EP4010769B1 (de
Inventor
Rafael Fietzek
Stéphane Gérard Louis Albert Foulard
Ousama Esbel
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Compredict GmbH
Original Assignee
Compredict GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Compredict GmbH filed Critical Compredict GmbH
Publication of EP4010769A1 publication Critical patent/EP4010769A1/de
Application granted granted Critical
Publication of EP4010769C0 publication Critical patent/EP4010769C0/de
Publication of EP4010769B1 publication Critical patent/EP4010769B1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0297—Reconfiguration of monitoring system, e.g. use of virtual sensors; change monitoring method as a response to monitoring results
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2134—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
    • G06F18/21345—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis enforcing sparsity or involving a domain transformation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B60W2050/0019—Control system elements or transfer functions
    • B60W2050/0028—Mathematical models, e.g. for simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis
    • G06F18/21322—Rendering the within-class scatter matrix non-singular
    • G06F18/21326—Rendering the within-class scatter matrix non-singular involving optimisations, e.g. using regularisation techniques

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Neurology (AREA)
  • Algebra (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Traffic Control Systems (AREA)
  • Testing And Monitoring For Control Systems (AREA)
EP20753353.0A 2019-08-09 2020-08-06 Ein verfahren zur bestimmung einer sensorkonfiguration Active EP4010769B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019121589.7A DE102019121589A1 (de) 2019-08-09 2019-08-09 Verfahren zur Bestimmung einer Sensorkonfiguration
PCT/EP2020/072196 WO2021028322A1 (en) 2019-08-09 2020-08-06 A method for determining a sensor configuration

Publications (3)

Publication Number Publication Date
EP4010769A1 EP4010769A1 (de) 2022-06-15
EP4010769C0 true EP4010769C0 (de) 2024-07-31
EP4010769B1 EP4010769B1 (de) 2024-07-31

Family

ID=71994519

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20753353.0A Active EP4010769B1 (de) 2019-08-09 2020-08-06 Ein verfahren zur bestimmung einer sensorkonfiguration

Country Status (6)

Country Link
US (1) US20220164660A1 (de)
EP (1) EP4010769B1 (de)
CN (1) CN114556248B (de)
DE (1) DE102019121589A1 (de)
ES (1) ES2986693T3 (de)
WO (1) WO2021028322A1 (de)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12067251B2 (en) * 2022-04-11 2024-08-20 Dell Products, L.P. Data automation and predictive modeling for planning and procuring solid state drive replacements
EP4270121A1 (de) * 2022-04-29 2023-11-01 Siemens Aktiengesellschaft Verfahren und system für den nahtlosen übergang eines laufzeitsystems von einer steuerungsvorrichtung zu einer digitalisierungsplattform
DE102022205670B3 (de) * 2022-06-02 2023-08-03 Zf Friedrichshafen Ag Verfahren zum Aufbereiten eines Getriebeparametersignals sowie Verfahren zum Anlernen und zur Verwendung eines neuronalen Netzes mittels des aufbereiteten Getriebeparametersignals
DE102022121211B4 (de) * 2022-08-23 2024-03-28 Schenck Process Europe Gmbh Verfahren zum Betreiben einer Sensor-Anordnung und Sensor-Anordnung sowie Einrichtung zur Datenverarbeitung und Vorrichtung
US12210753B2 (en) * 2022-09-15 2025-01-28 Innogrit Technologies Co., Ltd. Systems and methods for power and thermal management in a solid state drive
US20240329078A1 (en) * 2023-03-31 2024-10-03 Hrl Laboratories, Llc Generating a virtual sensor signal from a plurality of real sensor signals
CN116610906B (zh) * 2023-04-11 2024-05-14 深圳润世华软件和信息技术服务有限公司 设备故障诊断方法、装置、计算机设备及其存储介质

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2392983A (en) * 2002-09-13 2004-03-17 Bombardier Transp Gmbh Remote system condition monitoring
US8014991B2 (en) * 2003-09-30 2011-09-06 Tokyo Electron Limited System and method for using first-principles simulation to characterize a semiconductor manufacturing process
US7499842B2 (en) * 2005-11-18 2009-03-03 Caterpillar Inc. Process model based virtual sensor and method
US7787969B2 (en) * 2007-06-15 2010-08-31 Caterpillar Inc Virtual sensor system and method
US20090300422A1 (en) * 2008-05-30 2009-12-03 Caterpillar Inc. Analysis method and system using virtual sensors
EP3018541B1 (de) * 2014-11-04 2023-10-25 Garrett Transportation I Inc. Konfigurierbarer inferenzieller Sensor für Fahrzeugsteuerungssysteme
CN105740381B (zh) * 2016-01-27 2019-05-17 北京工业大学 一种基于复杂网络特性及神经网络聚类挖掘用户兴趣的方法
IT201600098423A1 (it) * 2016-09-30 2018-03-30 Modelway S R L Procedimento di progettazione di un sensore virtuale, relativo sensore virtuale, sistema e prodotti informatici
CN107679138B (zh) * 2017-09-22 2021-08-27 陕西师范大学 基于局部尺度参数、熵和余弦相似性的谱特征选择方法
CN108665311B (zh) * 2018-05-08 2022-02-25 湖南大学 一种基于深度神经网络的电商用户时变特征相似性计算推荐方法

Also Published As

Publication number Publication date
ES2986693T3 (es) 2024-11-12
US20220164660A1 (en) 2022-05-26
EP4010769A1 (de) 2022-06-15
DE102019121589A1 (de) 2021-02-11
WO2021028322A1 (en) 2021-02-18
CN114556248A (zh) 2022-05-27
EP4010769B1 (de) 2024-07-31
CN114556248B (zh) 2025-05-30

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